Pierre Sanitas

Quantitative Analyst ESG

Salaire / Taux journalier

Paris, France

Freelance

Peut venir sur site

Expertises

Data SciencePythonBase de données SQLClean CodeDeep LearningKerasFlaskMATLABGitGitLabNumPypandasAzureData VizualizationData MiningBig Datascikit-learnRequêtes SQLRDatabricksGitHubFinanceData AnalysisMachine Learning

Langues

Anglais (Courant)Chinois

À propos

Introduction

ESG Quantitative Analyst with 6+ years in finance and data science, currently at AXA Group and lecturer at Sorbonne University. Specialized in ESG scoring models, climate risk modeling, and NLP for compliance analysis. Expert in Python/R statistical modeling delivering sustainable finance solutions for investment teams.

Liens

Expérience de travail

Quantitative Analyst ESG

AXA

févr. 2024 - Présent

2 ans 9 mois

Paris, France

Working in the investment department of AXA Group.

University of Paris I: Panthéon-Sorbonne

janv. 2023 - Présent

3 ans 10 mois

Paris, France

Lecturer in applied Data Science in Finance

avr. 2025 - Présent

1 an 7 mois

Paris, France

Course lecturer in Master 2 Finance, Technology, Data.

Tutor in Financial Econometrics

janv. 2023 - Présent

3 ans 10 mois

Paris, France

Tutorship (chargé de Travaux Dirigés) in Financial Econometrics for Masters' students.

Data Scientist ESG

La Française

janv. 2022 - mars 2024

2 ans 3 mois

Paris, France

As an ESG Data Scientist I mainly work on integrating Environmental, Social and Governance matters in the investment process through quantitative modelling. - Modelling and industrializing the production of ESG scores on the investment universe. - Designing and implementing thematic scores on a particular sustainability topic. - Assisting PM teams in integrating and interpreting extra-financial data. - Scoring of Biodiversity impact. - Climat risk modelling (physical and transition). - Computing Taxonomy and Sustainable Development goals indicators. - Contributing to Due Diligence questionnaires and RFP related to sustainable finance.

Data Scientist

Crédit Agricole CIB

sept. 2019 - oct. 2020

1 an 2 mois

Paris Area, France

- Performing continuous improvement of NLP models in production. - Conducting a feasibility study on the implementation of a weakly supervised AI tool performing automatic text annotation. - Developing ML models for the analysis of compliance controversies.

Investment Banking Consultant

IBM

avr. 2018 - oct. 2019

1 an 7 mois

Paris Area, France

Implementation of a Cloud Data Warehouse: - Collecting and understanding business needs. - Formalizing flow charts in and out of the Data Warehouse. - Drafting the functional and technical specifications of the data model. - Designing the Data Marts within fact and dimension tables, - Performing PMO tasks. Misc.: - Recruiting interns and apprentices.


Formation

OpenClassrooms

Machine Learning Engineer - diploma course

2020 - 2021

8 mois

University of Paris I: Panthéon-Sorbonne

MSc Finance Technology Data

2019 - 2020

1 an 1 mois

University of Paris I: Panthéon-Sorbonne

MSc Consulting

2017 - 2018

1 an 1 mois

University of Paris I: Panthéon-Sorbonne

Master’s degree in Finance

2016 - 2017

1 an 1 mois

University of Paris I: Panthéon-Sorbonne

Bachelor's degree in Econometrics (Magistère d’Économie)

2015 - 2016

1 an 1 mois

UNIVERSITE D'AUVERGNE

1st and 2nd year Bachelor’s degree in Economics

2013 - 2015

2 ans 1 mois

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